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Item #:
87981932
Addison-Wesley Data & Analytics Pandas for Everyone: Python Data Analysis, (Paperback)
Item #:
87981932
RWF 79286
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What Stands Out
Comprehensive Coverage
This book offers an extensive overview of the Pandas library, tailored for newcomers, ensuring a solid foundation in data analysis with practical examples and thorough explanations.
User-Friendly Approach
Designed for all skill levels, it simplifies complex concepts, making it accessible for beginners while still offering valuable insights for experienced users looking to refine their skills.
Practical Applications
Focuses on real-world applications of data analysis, enabling readers to directly apply their knowledge to solve problems, enhancing both learning and practical skills in data handling.
Product Details
- The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they're easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas' advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the best Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2017 |
| Pages | 416 |
| Reading level | Professional & Vocational |
| Subgenre | Data Science |
| Series title | Addison-Wesley Data & Analytics |
| Edition | 1 |
| Publisher | Pearson Education |
| Original languages | English |
| Language | English |
| Edu focus | General |
| Educational level | General |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.90 x 0.80 x 9.00 in (17.5 x 2 x 22.9 cm) |
| Assembled product weight | 1.4 lb (640 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Programmers
Ideal for those new to programming, providing foundational knowledge in data analysis using Python and Pandas.
-
Data Enthusiasts
Perfect for individuals interested in data analytics seeking to enhance their skills with practical applications.
-
Students in Courses
Recommended for students taking data science or programming courses that require hands-on learning with data sets.
-
Advanced Users
Not suitable for experienced data analysts looking for in-depth or advanced techniques beyond basic Pandas usage.
Product Description
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Daniel Chen All Books Editorial Review
Addison-Wesley Data & Analytics Pandas for Everyone: Python Data Analysis is a comprehensive resource tailored for professionals in the field of data science. This non-fiction paperback, published in December 2017, spans 416 pages and aims to equip readers with essential skills in data analysis using Python. The book is part of the Addison-Wesley Data & Analytics series, highlighting its relevance in the computing and internet genre. Readers can benefit from the general educational focus, making it suitable for those seeking to elevate their professional capabilities in data analytics.
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Pros
- Ideal for professionals seeking data analysis skills
- Comprehensive 416-page resource
- Focuses on practical Python applications
- Part of a respected data science series
- Non-fiction format for serious study
Cons
- Not suitable for casual readers or beginners
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